A suggested way to tease apart what makes certain species more likely to respond positively to different nutrient enrichment treatments is through some variety of decision tree.
When we have a set of hierarchical predictors that range from site-level predictors (precip, temp, species richness) to more individual-level predictors (functional type, relative rank abundance), decision trees can offer a reasonably intuitive way to model and interpet interactions between them.